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- 【压缩文件】 [FreeCourseSite.com] Udemy - TensorFlow Developer Certificate in 2023 Zero to Mastery
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[FreeCourseSite.com] Udemy - TensorFlow Developer Certificate in 2023 Zero to Mastery.part1.rar 8.6 GB
[FreeCourseSite.com] Udemy - TensorFlow Developer Certificate in 2023 Zero to Mastery.part2.rar 8.6 GB
[FreeCourseSite.com] Udemy - TensorFlow Developer Certificate in 2023 Zero to Mastery.part3.rar 8.6 GB
[FreeCourseSite.com] Udemy - TensorFlow Developer Certificate in 2023 Zero to Mastery.part4.rar 6.8 GB
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- 【影视】 [FreeCourseSite.com] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence
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18. Setting up your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4 189.7 MB
18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 157.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 130.1 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.7 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 110.1 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 103.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 94.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 91.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 87.0 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 84.5 MB
4. Feedforward Artificial Neural Networks/5. Activation Functions.mp4 84.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4 83.7 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.6 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.6 MB
10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4 82.1 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 80.6 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.mp4 79.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 77.7 MB
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- 【影视】 [ DevCourseWeb.com ] Udemy - Mastering Neural Style Transfer - Tensorflow, Keras and Python
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~Get Your Files Here !/1 - Fundamentals/5 - Applications.mp4 46.8 MB
~Get Your Files Here !/1 - Fundamentals/4 - Why Should we Learn.mp4 37.8 MB
~Get Your Files Here !/2 - Model Building and Prediction/28 - Calculates the total loss.mp4 26.5 MB
~Get Your Files Here !/1 - Fundamentals/2 - What is Neural Style Transfer.mp4 21.4 MB
~Get Your Files Here !/1 - Fundamentals/1 - Introduction.mp4 21.0 MB
~Get Your Files Here !/1 - Fundamentals/3 - About this Project.mp4 15.8 MB
~Get Your Files Here !/2 - Model Building and Prediction/9 - Contents in Directory.mp4 14.9 MB
~Get Your Files Here !/2 - Model Building and Prediction/32 - Perform the style transfer optimization loop.mp4 13.4 MB
~Get Your Files Here !/2 - Model Building and Prediction/11 - Checking the availability and usage of GPUs.mp4 11.9 MB
~Get Your Files Here !/2 - Model Building and Prediction/14 - Setting the directory path.mp4 11.7 MB
~Get Your Files Here !/2 - Model Building and Prediction/33 - Save and display the final generated image.mp4 10.9 MB
~Get Your Files Here !/2 - Model Building and Prediction/18 - Convert the generated image back to its original format.mp4 10.2 MB
~Get Your Files Here !/2 - Model Building and Prediction/31 - Preprocess the base image style reference image and combination image.mp4 9.8 MB
~Get Your Files Here !/2 - Model Building and Prediction/17 - Preprocesses an image.mp4 9.5 MB
~Get Your Files Here !/2 - Model Building and Prediction/13 - Necessary library imports.mp4 9.2 MB
~Get Your Files Here !/2 - Model Building and Prediction/8 - Setup the Working Directory.mp4 9.2 MB
~Get Your Files Here !/2 - Model Building and Prediction/19 - Calculate the Gram matrix.mp4 9.0 MB
~Get Your Files Here !/2 - Model Building and Prediction/10 - Activate GPU.mp4 8.7 MB
~Get Your Files Here !/1 - Fundamentals/6 - Why Keras and Python.mp4 8.2 MB
~Get Your Files Here !/2 - Model Building and Prediction/20 - Calculates the style loss.mp4 8.0 MB
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- 【影视】 GetFreeCourses.Co-Udemy-TensorFlow Hub Deep Learning, Computer Vision and NLP
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3. Natural language processing/6. Q&A and information retrieval 2.mp4 162.5 MB
2. Computer vision/5. Image classification 4.mp4 114.3 MB
2. Computer vision/7. Object detection 1.mp4 109.9 MB
2. Computer vision/2. Image classification 1.mp4 107.9 MB
2. Computer vision/14. Image extension using GAN 2.mp4 99.0 MB
3. Natural language processing/8. Q&A and information retrieval 4.mp4 96.5 MB
2. Computer vision/17. Action recognition 3.mp4 95.5 MB
3. Natural language processing/9. Q&A and information retrieval 5.mp4 92.7 MB
2. Computer vision/9. Object detection 3.mp4 90.5 MB
2. Computer vision/6. Image classification 5.mp4 89.9 MB
3. Natural language processing/3. Text classification 2.mp4 87.7 MB
2. Computer vision/15. Action recognition 1.mp4 85.5 MB
3. Natural language processing/7. Q&A and information retrieval 3.mp4 84.3 MB
1. Introduction/1. Course content.mp4 83.2 MB
2. Computer vision/18. Action recognition 4.mp4 79.1 MB
2. Computer vision/3. Image classification 2.mp4 71.6 MB
2. Computer vision/4. Image classification 3.mp4 68.4 MB
3. Natural language processing/10. Audio classification 1.mp4 68.2 MB
4. Extra content 1 Artificial neural networks/8. Bias, error, stochastic gradient descent, and more parameters.mp4 66.5 MB
2. Computer vision/11. Style transfer 2.mp4 65.5 MB
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- 【影视】 [Udemy] TensorFlow Developer Certificate in 2021 Zero to Mastery [Updated 7-2021] [En]
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10 NLP Fundamentals in TensorFlow/016 Visualising our model's learned word embeddings with TensorFlow's projector tool.mp4 296.9 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/023 Writing a preprocessing function to turn time series data into windows & labels.mp4 262.6 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/047 Model 7_ Putting together the pieces of the puzzle of the N-BEATS model.mp4 248.9 MB
11 Milestone Project 2_ SkimLit/006 Writing a preprocessing function to structure our data for modelling.mp4 228.6 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/041 Model 7_ Replicating the N-BEATS basic block with TensorFlow layer subclassing.mp4 226.8 MB
10 NLP Fundamentals in TensorFlow/015 Model 1_ Building, fitting and evaluating our first deep model on text data.mp4 217.9 MB
10 NLP Fundamentals in TensorFlow/009 Setting up a TensorFlow TextVectorization layer to convert text to numbers.mp4 209.8 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/018 Preparing Model 3 (our first fine-tuned model).mp4 207.9 MB
11 Milestone Project 2_ SkimLit/017 Creating a character-level tokeniser with TensorFlow's TextVectorization layer.mp4 206.9 MB
03 Neural network regression with TensorFlow/011 Evaluating a TensorFlow model part 3 (getting a model summary).mp4 202.4 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/015 Breaking our CNN model down part 5_ Looking inside a Conv2D layer.mp4 195.0 MB
10 NLP Fundamentals in TensorFlow/021 Discussing the intuition behind Conv1D neural networks for text and sequences.mp4 193.3 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/042 Model 7_ Testing our N-BEATS block implementation with dummy data inputs.mp4 191.9 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/051 Model 8_ Making and evaluating predictions with our ensemble model.mp4 191.0 MB
03 Neural network regression with TensorFlow/005 The major steps in modelling with TensorFlow.mp4 190.7 MB
11 Milestone Project 2_ SkimLit/021 Model 4_ Building a multi-input model (hybrid token + character embeddings).mp4 190.4 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/050 Model 8_ Building, compiling and fitting an ensemble of models.mp4 188.8 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/003 Downloading and turning our images into a TensorFlow BatchDataset.mp4 181.7 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/018 Making predictions on our test images and evaluating them.mp4 180.0 MB
11 Milestone Project 2_ SkimLit/014 Model 1_ Building, fitting and evaluating a Conv1D with token embeddings.mp4 176.5 MB
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- 【影视】 [FreeCourseSite.com] Udemy - TensorFlow Hub Deep Learning, Computer Vision and NLP
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3. Natural language processing/6. Q&A and information retrieval 2.mp4 162.5 MB
2. Computer vision/5. Image classification 4.mp4 114.3 MB
2. Computer vision/7. Object detection 1.mp4 109.9 MB
2. Computer vision/2. Image classification 1.mp4 107.9 MB
2. Computer vision/14. Image extension using GAN 2.mp4 99.0 MB
3. Natural language processing/8. Q&A and information retrieval 4.mp4 96.5 MB
2. Computer vision/17. Action recognition 3.mp4 95.5 MB
3. Natural language processing/9. Q&A and information retrieval 5.mp4 92.7 MB
2. Computer vision/9. Object detection 3.mp4 90.5 MB
2. Computer vision/6. Image classification 5.mp4 89.9 MB
3. Natural language processing/3. Text classification 2.mp4 87.7 MB
2. Computer vision/15. Action recognition 1.mp4 85.5 MB
3. Natural language processing/7. Q&A and information retrieval 3.mp4 84.3 MB
1. Introduction/1. Course content.mp4 83.2 MB
2. Computer vision/18. Action recognition 4.mp4 79.1 MB
2. Computer vision/3. Image classification 2.mp4 71.6 MB
2. Computer vision/4. Image classification 3.mp4 68.4 MB
3. Natural language processing/10. Audio classification 1.mp4 68.2 MB
4. Extra content 1 Artificial neural networks/8. Bias, error, stochastic gradient descent, and more parameters.mp4 66.5 MB
2. Computer vision/11. Style transfer 2.mp4 65.5 MB
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- 【影视】 [ DevCourseWeb.com ] Udemy - Machine Deep Learning for Biology with Python and Tensorflow
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~Get Your Files Here !/1. Chapter 1/18. 14. Classes And Objects.mp4 234.1 MB
~Get Your Files Here !/1. Chapter 1/15. 11. Loops.mp4 175.2 MB
~Get Your Files Here !/1. Chapter 1/7. 03. Operators.mp4 169.3 MB
~Get Your Files Here !/1. Chapter 1/19. 15. Inheritance Examples.mp4 137.0 MB
~Get Your Files Here !/1. Chapter 1/14. 10. If Statement Examples.mp4 123.8 MB
~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/3. 02 Clean Data With Missing Values.mp4 123.2 MB
~Get Your Files Here !/1. Chapter 1/9. 05. List Examples.mp4 115.1 MB
~Get Your Files Here !/1. Chapter 1/5. 01. Variables.mp4 111.6 MB
~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/2. 02 Clean And Preprocess Heart Disease Data For Machine Learning.mp4 109.1 MB
~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/3. 04 Select Top Features Via Variance Threshold.mp4 108.0 MB
~Get Your Files Here !/1. Chapter 1/11. 07. Dictionaries Examples.mp4 91.5 MB
~Get Your Files Here !/1. Chapter 1/16. 12. Functions.mp4 90.6 MB
~Get Your Files Here !/1. Chapter 1/27. 02 What Is Regression.mp4 87.8 MB
~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/1. 01 Load Data Via Data File.mp4 87.1 MB
~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/2. 01 Load And Analyze Data.mp4 84.3 MB
~Get Your Files Here !/1. Chapter 1/20. 16. Static Members Examples.mp4 82.4 MB
~Get Your Files Here !/1. Chapter 1/17. 13. Parameters And Return Values Examples.mp4 82.3 MB
~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/4. 02 Build A K Nearest Neighbors Regression Model To Predict Diabetes.mp4 81.3 MB
~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/2. 01 Load And Analyze Blood Cell Data.mp4 78.6 MB
~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/6. 05 Train And Evaluate Model Accuracy.mp4 76.6 MB
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- 【影视】 [ DevCourseWeb.com ] Udemy - Deep Learning - Neural Networks With Tensorflow
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~Get Your Files Here !/4 - Deep Learning Automatic Image Captioning For Social Media With Tensorflow/36 - Preprocessing the Text Data.mp4 181.8 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/2 - Scenario of Perceptron.mp4 165.6 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/5 - Initializing the Model.mp4 148.7 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/13 - Advance Concept of Transfer Learning Part 1.mp4 147.1 MB
~Get Your Files Here !/3 - Project on Tensorflow Implementing Linear Model with Python/24 - Installation of Tensorflow.mp4 139.0 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/11 - Listing Directories.mp4 115.5 MB
~Get Your Files Here !/4 - Deep Learning Automatic Image Captioning For Social Media With Tensorflow/40 - Loading Features for Train and Test Dataset.mp4 114.1 MB
~Get Your Files Here !/2 - Project On Tensorflow Face Mask Detection Application/18 - Load Data Pretrained Mode.mp4 100.7 MB
~Get Your Files Here !/4 - Deep Learning Automatic Image Captioning For Social Media With Tensorflow/49 - Deploy Streamlit on AWS EC2 Instance.mp4 100.0 MB
~Get Your Files Here !/3 - Project on Tensorflow Implementing Linear Model with Python/25 - Basic Data Types for Tensorflow.mp4 99.2 MB
~Get Your Files Here !/3 - Project on Tensorflow Implementing Linear Model with Python/28 - Optimization of Variable.mp4 96.3 MB
~Get Your Files Here !/4 - Deep Learning Automatic Image Captioning For Social Media With Tensorflow/37 - PreProcess and Load Captions Data.mp4 88.4 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/9 - Classifying the Photos of Dogs and Cats.mp4 88.3 MB
~Get Your Files Here !/2 - Project On Tensorflow Face Mask Detection Application/17 - Package Installation.mp4 85.3 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/14 - Advance Concept of Transfer Learning Part 2.mp4 82.8 MB
~Get Your Files Here !/4 - Deep Learning Automatic Image Captioning For Social Media With Tensorflow/45 - Test the Model.mp4 81.4 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/1 - Overview of DLUT.mp4 76.7 MB
~Get Your Files Here !/4 - Deep Learning Automatic Image Captioning For Social Media With Tensorflow/34 - Accessing the Caption Dataset for Training.mp4 76.4 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/3 - Creating Neural Network Using TensorFlow.mp4 76.0 MB
~Get Your Files Here !/1 - Deep Learning Neural Networks with TensorFlow/12 - Import Image Data Generator.mp4 75.6 MB
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- 【其他】 [DesireCourse.Net] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API
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16. Annex 2 - Convolutional Neural Networks Theory/7. Step 4 - Full Connection.mp4.!qB 203.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.mp4.!qB 196.5 MB
1. Introduction/1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..mp4.!qB 153.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.mp4.!qB 143.9 MB
17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.mp4.!qB 143.1 MB
7. Deep Reinforcement Learning Theory/9. Action Selection Policies.mp4.!qB 141.3 MB
17. Annex 3 - Recurrent Neural Networks Theory/2. What are Recurrent Neural Networks.mp4.!qB 126.8 MB
16. Annex 2 - Convolutional Neural Networks Theory/9. Softmax & Cross-Entropy.mp4.!qB 123.6 MB
2. TensorFlow 2.0 Basics/1. From TensorFlow 1.x to TensorFlow 2.0.mp4.!qB 120.4 MB
7. Deep Reinforcement Learning Theory/8. Experience Replay.mp4.!qB 117.9 MB
15. Annex 1 - Artificial Neural Networks Theory/5. How do Neural Networks Learn.mp4.!qB 117.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/3. Vanishing Gradient.mp4.!qB 116.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/2. What are Convolutional Neural Networks.mp4.!qB 113.1 MB
7. Deep Reinforcement Learning Theory/6. Deep Q-Learning Intuition - Step 1.mp4.!qB 104.3 MB
15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.mp4.!qB 103.5 MB
16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.mp4.!qB 102.6 MB
7. Deep Reinforcement Learning Theory/5. Temporal Difference.mp4.!qB 101.8 MB
7. Deep Reinforcement Learning Theory/2. The Bellman Equation.mp4.!qB 99.7 MB
7. Deep Reinforcement Learning Theory/3. Markov Decision Process (MDP).mp4.!qB 98.9 MB
4. Convolutional Neural Networks/2. Building the Convolutional Neural Network.mp4.!qB 92.5 MB
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~Get Your Files Here !/6. Lecture 6 Training a Multi Layered Perceptron.mp4 182.2 MB
~Get Your Files Here !/8. Lecture 8 Backpropagation Algorithm.mp4 114.4 MB
~Get Your Files Here !/10. Lecture 10 Vanishing Gradient Problem.mp4 96.9 MB
~Get Your Files Here !/7. Lecture 7 Memoization.mp4 92.7 MB
~Get Your Files Here !/5. Lecture 5 Training a single Neuron model.mp4 81.7 MB
~Get Your Files Here !/4. Lecture 4 DNN Notations.mp4 68.1 MB
~Get Your Files Here !/9. Lecture 9 Activation Functions.mp4 66.8 MB
~Get Your Files Here !/1. Introduction to Biological Neuron.mp4 41.9 MB
~Get Your Files Here !/2. Lecture 2 Logistic Regression and Neuron.mp4 23.5 MB
~Get Your Files Here !/3. Lecture 3 Multi Layered Perceptron.mp4 21.5 MB
~Get Your Files Here !/6. Lecture 6 Training a Multi Layered Perceptron.srt 28.3 kB
~Get Your Files Here !/9. Lecture 9 Activation Functions.srt 20.5 kB
~Get Your Files Here !/8. Lecture 8 Backpropagation Algorithm.srt 20.4 kB
~Get Your Files Here !/5. Lecture 5 Training a single Neuron model.srt 19.4 kB
~Get Your Files Here !/4. Lecture 4 DNN Notations.srt 14.5 kB
~Get Your Files Here !/7. Lecture 7 Memoization.srt 13.4 kB
~Get Your Files Here !/10. Lecture 10 Vanishing Gradient Problem.srt 12.8 kB
~Get Your Files Here !/1. Introduction to Biological Neuron.srt 9.4 kB
~Get Your Files Here !/2. Lecture 2 Logistic Regression and Neuron.srt 5.6 kB
~Get Your Files Here !/3. Lecture 3 Multi Layered Perceptron.srt 5.3 kB
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- 【压缩文件】 [ FreeCourseWeb.com ] Packt - Hands-On Computer Vision with OpenCV 4, Keras, and TensorFlow 2.zip
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[ FreeCourseWeb.com ] Packt - Hands-On Computer Vision with OpenCV 4, Keras, and TensorFlow 2.zip 1.3 GB
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~Get Your Files Here !/3 - Building Classification Models with CNNS/7 - Classification Problem Binomial Response Building the Model.mp4 162.4 MB
~Get Your Files Here !/4 - Recognizing Human Faces From Trees/12 - Data Preparation.mp4 139.2 MB
~Get Your Files Here !/7 - Recognizing HandWritten Numbers/31 - Data Preparation.mp4 134.7 MB
~Get Your Files Here !/7 - Recognizing HandWritten Numbers/34 - Making Predictions on New Data.mp4 110.8 MB
~Get Your Files Here !/3 - Building Classification Models with CNNS/8 - Classification Problem Binomial Response Making Predictions.mp4 97.8 MB
~Get Your Files Here !/1 - Getting Started/1 - Introduction.mp4 89.9 MB
~Get Your Files Here !/3 - Building Classification Models with CNNS/11 - Classification Problem Multinomial Response Making Predictions.mp4 85.8 MB
~Get Your Files Here !/5 - Recognizing Animals/25 - Recognizing Bears Foxes and Mice Making Predictions.mp4 82.0 MB
~Get Your Files Here !/5 - Recognizing Animals/17 - Recognizing Bears From Foxes Data Preparation.mp4 75.9 MB
~Get Your Files Here !/4 - Recognizing Human Faces From Trees/15 - Making Predictions in the Test Set.mp4 75.6 MB
~Get Your Files Here !/4 - Recognizing Human Faces From Trees/13 - Creating the Training Set and the Test Set.mp4 72.8 MB
~Get Your Files Here !/3 - Building Classification Models with CNNS/6 - Classification Problem Binomial Response Data Preparation.mp4 66.9 MB
~Get Your Files Here !/5 - Recognizing Animals/22 - Recognizing Bears Foxes and Mice Data Preparation.mp4 65.2 MB
~Get Your Files Here !/3 - Building Classification Models with CNNS/10 - Classification Problem Multinomial Response Building the Model.mp4 62.3 MB
~Get Your Files Here !/5 - Recognizing Animals/20 - Recognizing Bears From Foxes Making Predictions.mp4 56.7 MB
~Get Your Files Here !/5 - Recognizing Animals/19 - Recognizing Bears From Foxes Building the Model.mp4 50.4 MB
~Get Your Files Here !/5 - Recognizing Animals/26 - Recognizing Bears Foxes and Mice Making Predictions on New Data.mp4 48.9 MB
~Get Your Files Here !/3 - Building Classification Models with CNNS/9 - Classification Problem Multinomial Response Data Preparation.mp4 48.4 MB
~Get Your Files Here !/4 - Recognizing Human Faces From Trees/14 - Building the Model.mp4 47.7 MB
~Get Your Files Here !/5 - Recognizing Animals/18 - Recognizing Bears From Foxes Training Set and Test Set.mp4 45.7 MB
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- 【压缩文件】 [FreeCoursesOnline.Me] Coursera - TensorFlow Data and Deployment Specialization
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Browser-based-models-tensorflow.zip 464.4 MB
Device-based-models-tensorflow.zip 396.6 MB
Data-pipelines-tensorflow.zip 349.5 MB
Advanced-deployment-scenarios-tensorflow.zip 247.8 MB
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Generative-deep-learning-with-tensorflow.zip 431.5 MB
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5. Detection Algorithms/3. Demo - Deep-Learning Approaches Part 1.mp4 29.7 MB
5. Detection Algorithms/4. Demo - Deep-Learning Approaches Part 2.mp4 26.4 MB
6. Mitigation Techniques/1. Techniques and Metrics.mp4 17.3 MB
5. Detection Algorithms/1. Demo - Statistical Approaches Part 1.mp4 16.8 MB
4. Definition and Anomaly Types/1. Taxonomy.mp4 14.8 MB
4. Definition and Anomaly Types/2. Real Data.mp4 13.5 MB
5. Detection Algorithms/2. Demo - Statistical Approaches Part 2.mp4 12.8 MB
3. Exploratory Data Analysis/3. Demo - EDA Part 2.mp4 11.6 MB
2. Introduction/2. Summary.mp4 8.9 MB
3. Exploratory Data Analysis/2. Demo - EDA Part 1.mp4 8.6 MB
2. Introduction/3. Statistical Methods.mp4 7.3 MB
3. Exploratory Data Analysis/1. Finding a Dataset.mp4 4.4 MB
1. Course Overview/1. Course Overview.mp4 4.0 MB
2. Introduction/4. Prerequisites.mp4 3.9 MB
2. Introduction/1. Introduction.mp4 3.4 MB
exercise.7z 1.9 MB
5. Detection Algorithms/3. Demo - Deep-Learning Approaches Part 1.vtt 14.0 kB
5. Detection Algorithms/4. Demo - Deep-Learning Approaches Part 2.vtt 13.8 kB
6. Mitigation Techniques/1. Techniques and Metrics.vtt 11.2 kB
5. Detection Algorithms/1. Demo - Statistical Approaches Part 1.vtt 8.9 kB
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Chapter 3 Feedforward Artificial Neural Networks/004. Activation Functions.mp4 64.7 MB
Chapter 3 Feedforward Artificial Neural Networks/009. ANN for Regression.mp4 58.7 MB
Chapter 2 Machine Learning and Neurons/001. What Is Machine Learning.mp4 56.1 MB
Chapter 3 Feedforward Artificial Neural Networks/006. How to Represent Images.mp4 52.0 MB
Chapter 2 Machine Learning and Neurons/002. Code Preparation (Classification Theory).mp4 50.7 MB
Chapter 2 Machine Learning and Neurons/005. Regression Notebook.mp4 50.0 MB
Chapter 2 Machine Learning and Neurons/003. Classification Notebook.mp4 46.9 MB
Chapter 3 Feedforward Artificial Neural Networks/007. Code Preparation (Artificial Neural Networks).mp4 44.2 MB
Chapter 5 In-Depth Gradient Descent/005. Adam Optimization (Part 1).mp4 44.1 MB
Chapter 5 In-Depth Gradient Descent/006. Adam Optimization (Part 2).mp4 42.4 MB
Chapter 3 Feedforward Artificial Neural Networks/008. ANN for Image Classification.mp4 42.1 MB
Chapter 3 Feedforward Artificial Neural Networks/003. The Geometrical Picture.mp4 41.3 MB
Chapter 2 Machine Learning and Neurons/007. How Does a Model Learn .mp4 40.4 MB
Chapter 2 Machine Learning and Neurons/006. The Neuron.mp4 35.7 MB
Chapter 3 Feedforward Artificial Neural Networks/005. Multiclass Classification.mp4 35.6 MB
Chapter 3 Feedforward Artificial Neural Networks/002. Forward Propagation.mp4 35.4 MB
Chapter 5 In-Depth Gradient Descent/004. Variable and Adaptive Learning Rates.mp4 34.2 MB
Chapter 4 In-Depth Loss Functions/001. Mean Squared Error.mp4 31.8 MB
Chapter 2 Machine Learning and Neurons/008. Making Predictions.mp4 31.2 MB
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Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/001. Sequence Data.mp4 73.6 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/010. GRU and LSTM (Part 1).mp4 62.3 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/008. RNN for Time Series Prediction.mp4 58.0 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/003. Autoregressive Linear Model for Time Series Prediction.mp4 56.4 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/018. Stock Return Predictions Using LSTMs (Part 3).mp4 56.3 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/016. Stock Return Predictions Using LSTMs (Part 1).mp4 53.6 MB
Chapter 3 Natural Language Processing (NLP)/002. Code Preparation (NLP).mp4 50.2 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/012. A More Challenging Sequence.mp4 48.3 MB
Chapter 3 Natural Language Processing (NLP)/001. Embeddings.mp4 48.1 MB
Chapter 3 Natural Language Processing (NLP)/004. Text Classification with LSTMs.mp4 42.7 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/009. Paying Attention to Shapes.mp4 41.5 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/011. GRU and LSTM (Part 2).mp4 41.1 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/002. Forecasting.mp4 38.0 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/006. Recurrent Neural Networks (Elman Unit Part 2).mp4 33.2 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/005. Recurrent Neural Networks (Elman Unit Part 1).mp4 33.0 MB
Chapter 1 Welcome/002. Outline.mp4 30.5 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/017. Stock Return Predictions Using LSTMs (Part 2).mp4 27.9 MB
Chapter 3 Natural Language Processing (NLP)/003. Text Preprocessing.mp4 25.2 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/014. RNN for Image Classification (Theory).mp4 24.3 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/019. Other Ways to Forecast.mp4 21.3 MB
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Chapter 2 Convolutional Neural Networks (CNNs)/005. CNN Architecture.mp4 65.9 MB
Chapter 2 Convolutional Neural Networks (CNNs)/006. CNN Code Preparation.mp4 62.6 MB
Chapter 2 Convolutional Neural Networks (CNNs)/011. Improving CIFAR-10 Results.mp4 58.9 MB
Chapter 2 Convolutional Neural Networks (CNNs)/004. Convolution on Color Images.mp4 58.6 MB
Chapter 2 Convolutional Neural Networks (CNNs)/001. What Is Convolution (Part 1).mp4 57.9 MB
Chapter 4 Transfer Learning for Computer Vision/005. Transfer Learning Code (Part 1).mp4 52.2 MB
Chapter 3 Natural Language Processing (NLP)/002. Code Preparation (NLP).mp4 49.2 MB
Chapter 3 Natural Language Processing (NLP)/001. Embeddings.mp4 45.4 MB
Chapter 4 Transfer Learning for Computer Vision/001. Transfer Learning Theory.mp4 44.6 MB
Chapter 4 Transfer Learning for Computer Vision/006. Transfer Learning Code (Part 2).mp4 39.0 MB
Chapter 2 Convolutional Neural Networks (CNNs)/007. CNN for Fashion MNIST.mp4 36.2 MB
Chapter 3 Natural Language Processing (NLP)/005. Text Classification with CNNs.mp4 33.6 MB
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Chapter 3 Natural Language Processing (NLP)/004. CNNs for Text.mp4 31.6 MB
Chapter 2 Convolutional Neural Networks (CNNs)/009. Data Augmentation.mp4 31.2 MB
Chapter 4 Transfer Learning for Computer Vision/002. Some Pre-Trained Models (VGG, ResNet, Inception, MobileNet).mp4 27.5 MB
Chapter 2 Convolutional Neural Networks (CNNs)/008. CNN for CIFAR-10.mp4 26.1 MB
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[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/11 - MLOps with Weights and Biases/52 - Experiment Tracking.mp4 492.5 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/8 - Data Augmentation/41 - Data augmentation with TensorFlow using tfimage and Keras Layers.mp4 444.6 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/17 - Transformers in Vision/72 - Understanding VITs.mp4 442.5 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/2 - Tensors and variables/4 - Initialization and Casting.mp4 426.3 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/17 - Transformers in Vision/73 - Building VITs from scratch.mp4 418.0 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/12 - Human Emotions Detection/57 - Modeling and Training.mp4 390.0 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/2 - Tensors and variables/7 - Linear Algebra Operations.mp4 389.5 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/13 - Modern Convolutional Neural Networks/62 - resnet.mp4 368.9 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/4 - Building convnets with tensorflow/25 - How and Why Convolutional Neural Networks Work.mp4 365.6 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/8 - Data Augmentation/43 - Cutmix Data augmentation with TensorFlow 2 and intergration in tfdata.mp4 360.9 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/11 - MLOps with Weights and Biases/54 - Dataset Versioning with Weights and Biases and TensorFlow 2.mp4 345.5 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/2 - Tensors and variables/8 - Common Methods.mp4 313.6 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/12 - Human Emotions Detection/59 - Tensorflow records.mp4 307.9 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/10 - Tensorboard integration with TensorFlow 2/48 - Log data.mp4 301.2 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/3 - PREREQUISCITE Building neural networks with Tensorflow/14 - Data Preparation.mp4 289.8 MB
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[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/9 - Advanced Tensorflow/47 - Custom Training Loops in TensorFlow 2.mp4 246.3 MB
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